class_docstr: Computes mean metric.
class_docstr_tok: ["Computes","mean","metric","."]
code: def merge_accumulators(
      self, accumulators: Iterable[_Accumulator]
  ) -> _Accumulator:
      accumulators = iter(accumulators)
      result = next(accumulators)
      for accumulator in accumulators:
          result.count += accumulator.count
          result.total += accumulator.total
      return result
  
file_path: model-analysis/tensorflow_model_analysis/metrics/stats.py
imports: import dataclasses
  from typing import Any, Dict, Iterable, Optional, Tuple, Union
  import apache_beam
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.utils import util
label_desc: Use image node_id 4 for calling the _MeanCombiner obj's underlying member method code with example usage: obj.merge_accumulators(accumulators) and returns: result